• Calculating material properties with purely data-driven methods 

      Papastamatiou K., Sofos F., Karakasidis T.E. (2022)
      Unsupervised machine learning (ML) methods are incorporated in this work to depict correlations and investigate hidden relations between data points that refer to a diffusion coefficient dataset for the Lennard-Jones (LJ) ...
    • Variational restricted Boltzmann machines to automated anomaly detection 

      Demertzis K., Iliadis L., Pimenidis E., Kikiras P. (2022)
      Data-driven methods are implemented using particularly complex scenarios that reflect in-depth perennial knowledge and research. Hence, the available intelligent algorithms are completely dependent on the quality of the ...